v0.1.7
vectorize-io/hindsightv0.1.7Jan 16, 2026by chonknick
Upgrading?
Release notes summary
Version 0.1.7 introduces support for the Voyage 4 family of embedding models, including flagship, mid-sized, lightweight, and open-weight variants. All models support 32,000 token context, flexible Matryoshka dimensions, and multiple quantization formats.
Key Highlights
- Added voyage-4-large, the flagship MoE model ranked #1 on MTEB (78.26)
- Added voyage-4, voyage-4-lite, and open-weight voyage-4-nano (Apache 2.0)
- All Voyage 4 models support 32,000 token context
- Flexible dimensions (2048/1024/512/256) via Matryoshka learning
- Multiple quantization formats supported (float, int8, binary)
New Features
- Voyage 4 embedding model support (voyage-4-large, voyage-4, voyage-4-lite, voyage-4-nano)
- 32,000 token context window for Voyage 4 models
- Matryoshka flexible dimension support
- Float, int8, and binary quantization formats
Full Release Notes
## What's New - Added support for Voyage 4 embedding models: - `voyage-4-large` - Flagship MoE model, #1 on MTEB (78.26) - `voyage-4` - Mid-sized balanced model - `voyage-4-lite` - Lightweight model, #9 on MTEB (73.29) - `voyage-4-nano` - Open-weight model (Apache 2.0) All Voyage 4 models support: - 32,000 token context - Flexible dimensions (2048/1024/512/256) via Matryoshka learning - Multiple quantization formats (float, int8, binary)
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